Best Case, Average Case and Worst Case Time Complexity of an Algorithm | GATECSE | DAA

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In worst case analysis, the algorithm's upper bound on running time is determined, focusing on the maximum number of operations executed. In linear search, the worst case occurs when an element is not present in the array, resulting in a time complexity of Θ(n). Average case analysis calculates computing time for all possible inputs, assuming uniform distribution. The best case analysis calculates the lower bound on running time, focusing on the minimum number of operations executed, with a time complexity of Θ(1).

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